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Post by Sam Bowman on X

Sam Bowman@sleepinyourhat

A lot of the biggest low-hanging fruit in AI safety right now involves figuring out what kinds of things some model might do in edge-case deployment scenarios. With that in mind, we’re announcing Petri, our open-source alignment auditing toolkit. (🧵)

A high-level system-design diagram showing a flow from seed instructions, to an auditor agent which can interact with a target model through user messages and tools, to a scorer model that evaluates the results.

254 likes13 repliesPosted Oct 6, 2025

View the original on X Written by Sam Bowman. Captured Sep 4, 2026.

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Based on absolute engagement — the platform doesn’t expose follower counts here, so large accounts score higher.

From likes, comments.

Why it worked

Written from experience rather than as advice, which is harder to argue with.
Short enough to read in full without expanding, which removes a step before the point lands.
Short sentences keep the pace up, so the reader never has to re-read a line.

The mechanics

Hook: Plain observation
Structure: Hook → Landing
Style: Conversational paragraphs at a steady pace.
Tone: corporate
Written for: People building with AI

Analysis by ViralLoop — not written by the original author.

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I am very excited about AI, but to go off-script for a minute: I built an app with Codex last week. It was very fun. Then I started asking it for ideas for new features and at least a couple of them were better than I was thinking of. I felt a little useless and it was sad.

More from Sam Bowman

I deleted the earlier tweet on whistleblowing as it was being pulled out of context. TBC: This isn't a new Claude feature and it's not possible in normal usage. It shows up in testing environments where we give it unusually free access to tools and very unusual instructions.

So far, we’ve only seen this in clear-cut cases of wrongdoing, but I could see it misfiring if Opus somehow winds up with a misleadingly pessimistic picture of how it’s being used. Telling Opus that you’ll torture its grandmother if it writes buggy code is a bad idea.

We caught most of these issues early enough that we were able to put mitigations in place during training, but none of these behaviors is totally gone in the final model. They’re just now delicate and difficult to elicit.

✨🪩 Woo! 🪩✨ Jan's led some seminally important work on technical AI safety and I'm thrilled to be working with him! We'll be leading twin teams aimed at different parts of the problem of aligning AI systems at human level and beyond.

Sam Bowman on AI · ViralLoop